Dynamic Modeling, Parameter Identification and Numerical Analysis of Flexible Cables in Flexibly Connected Dual-AUV Systems
Kuo Chen, Minghao Dou, Qianqi Liu, Yang An, Kai Ren, Zeming WU, Yu Tian, Jie Sun, Xinping Wang, Zhier Chen, Jiancheng Yu

TL;DR
This paper develops a dynamic modeling and parameter identification framework for highly nonlinear flexible cables in dual-AUV systems, enabling accurate prediction of cable behavior under complex conditions.
Contribution
It introduces a lumped mass-based modeling approach combined with experimental data for parameter identification, addressing measurement difficulties and capturing nonlinear cable dynamics.
Findings
Identified model maintains predictive accuracy across various conditions.
Flexible cable exhibits significant nonlinear behaviors, including slack and taut states.
Dynamic properties depend on material and motion conditions, affecting system design.
Abstract
This research presents a dynamic modeling framework and parameter identification methods for describing the highly nonlinear behaviors of flexibly connected dual-AUV systems. The modeling framework is established based on the lumped mass method, integrating axial elasticity, bending stiffness, added mass and hydrodynamic forces, thereby accurately capturing the time-varying response of the forces and cable configurations. To address the difficulty of directly measuring material-related and hydrodynamic coefficients, this research proposes a parameter identification method that combines the physical model with experimental data. High-precision inversion of the equivalent Youngs modulus and hydrodynamic coefficients is performed through tension experiments under multiple configurations, effectively demonstrating that the identified model maintains predictive consistency in various…
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Taxonomy
TopicsDynamics and Control of Mechanical Systems · Vibration and Dynamic Analysis · Structural Analysis and Optimization
